Evidence map›Paper›PMID 38894116›Full record

ArticleSensors (Basel, Switzerland)2024

Testing Dynamic Balance in People with Multiple Sclerosis: A Correlational Study between Standard Posturography and Robotic-Assistive Device.

Jessica Podda, Giorgia Marchesi, Alice Bellosta, Valentina Squeri, Alice De Luca, Ludovico Pedullà, Andrea Tacchino, Giampaolo Brichetto

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Jessica PoddaItalian Multiple Sclerosis Foundation, 16149 Genoa, Italy.ORCID 0000-0002-9327-9148
Giorgia MarchesiMovendo Technology S.R.L, 16149 Genoa, Italy.
Alice BellostaDepartment of Experimental Medicine, University of Genoa, 16126 Genoa, Italy.
Valentina SqueriMovendo Technology S.R.L, 16149 Genoa, Italy.
Alice De LucaMovendo Technology S.R.L, 16149 Genoa, Italy.
Ludovico PedullàItalian Multiple Sclerosis Foundation, 16149 Genoa, Italy.
Andrea TacchinoItalian Multiple Sclerosis Foundation, 16149 Genoa, Italy.
Giampaolo BrichettoItalian Multiple Sclerosis Foundation, 16149 Genoa, Italy.ORCID 0000-0003-2026-3572

Funding

European Union - NextGenerationEU and Italian Ministry of University and Research (MUR) National Recovery and Resilience Plan (NRRP), Mission 4, Component 2, Investment 1.5, project "RAISE -Robotics and AI for Socio-economic Empowerment" (ECS00000035).
6 · The paper itself

Abstract

backgroundRobotic devices are known to provide pivotal parameters to assess motor functions in Multiple Sclerosis (MS) as dynamic balance. However, there is still a lack of validation studies comparing innovative technologies with standard solutions. Thus, this study's aim was to compare the postural assessment of fifty people with MS (PwMS) during dynamic tasks performed with the gold standard EquiTest

methodsPearson's ρ correlations were run for each COP-related measure and the global balance index was computed from EquiTest

resultsConsidering COP-related parameters, all correlations were significant in both EO (0.337 ≤ ρ ≤ 0.653) and EC (0.344 ≤ ρ ≤ 0.668). Furthermore, Pearson's analysis of global balance indexes revealed relatively strong for visual and vestibular, and strong for somatosensory system associations (ρ = 0.573; ρ = 0.494; ρ = 0.710, respectively).

conclusionsFindings confirm the use of hunova

Indexed as

Multiple SclerosisPostural BalanceRoboticsAdultFemaleHumansMaleMiddle AgedSelf-Help Devicesdynamic balanceEquiTest®hunova®Multiple Sclerosisposturographyrobotic assessment

Identifiers

PMID38894116
PMCPMC11174503

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.